Apollo version 0.0.6 User Manual

About this manual

This is the user manual for Apollo, a flexible, powerful, and customizable freeware package for choice model estimation and application. It covers installation, data formats, code structure, model components, estimation methods, and Bayesian estimation. The manual includes detailed sections on discrete choice models, random heterogeneity, latent classes, and extensions like joint estimation and expectation-maximization algorithms. It is intended for users who want to implement and analyze choice models using R-based code.

What's inside

• Introduction
• Installing Apollo and loading the Libraries
• Data format and datasets used for examples
• General code structure and components: illustration for MNL
• Other model components
• Incorporating random heterogeneity
• Joint estimation of multiple model components
• Bayesian estimation
• Pre and post-estimation capabilities
• Extensions

Frequently asked questions

What is the Apollo package?

It is a flexible, powerful and customisable freeware package for choice model estimation and application.

What is the version of this manual?

This manual is for version 0.0.6 of the software.

Who created the Apollo package?

The package was created by Stephane Hess and David Palma at the Choice Modelling Centre, University of Leeds.